Geothermal energy, a considerably underutilized resource compared to other renewable energy sources provides relatively cleaner and safer energy with minimal environmental impact. It is estimated that geothermal can produce 8.3% of the total electricity generated globally, sufficing 17.3% of the population reaping ecological and economic benefits. With our ever-growing energy demands and need for energy security, using geothermal potential to generate electricity is judicious. Further, integrating such plants with national grids will pave way to a unified, trust worthy energy system. But, managing such an enormous system with contribution from diverse energy sources is a mammoth task. However, with the advent of better storage technology, improved sensors, big data, artificial intelligence and the like it is easier than ever to undertake such intensive projects. Newer, efficient algorithms will simplify gathering of billions of bits of data, processing this data to better manage power production, co-ordinate power distribution and detect faults and anomalies in a smart grid. From production of power to its distribution to consumers optimal use of AI can help increase contribution of geothermal energy to any nation’s energy supply. This paper aims to provide big data and artificial intelligence-based solutions to unify and coordinate geothermal plants with interconnected national smart grid.

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